Job description

NextGen Federal Systems, LLC. is seeking a Generative AI/Machine Learning Engineer to research, design, develop, and deploy innovative AI/ML and Generative AI solutions across a variety of mission-focused problem sets. The selected candidate will support the development of advanced AI capabilities using technologies such as large language models, retrieval-augmented generation, Model Context Protocol servers, agentic workflows, and cloud-native AI services including AWS Bedrock. The selected candidate will be part of a distributed development team operating in a dynamic, agile, fast-paced environment and will participate in all phases of the software engineering lifecycle, including research, requirements analysis, solution design, model development, integration, deployment, evaluation, and testing. Qualifications: • Bachelor's [Master's / PhD] Degree in Computer Science, Math, Engineering, or related field • 6+ [4+ / 2+] years of work-related experience with applied machine learning, data science, software engineering, or AI/ML system development • Experience designing, developing, or deploying machine learning, Generative AI, or data-driven software solutions Required Skills and Experience: · Work as part of a technical team to design, develop, implement, and transition AI/ML and Generative AI capabilities that meet client operational requirements · Experience developing solutions using Python and common AI/ML or data science libraries such as pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or similar frameworks · Familiarity with large language models and Generative AI concepts, including prompt engineering, embeddings, vector databases, retrieval-augmented generation, model evaluation, and responsible AI considerations · Experience designing or integrating LLM-based applications, including chat-based interfaces, document question-answering systems, workflow automation, summarization tools, or AI-enabled decision-support systems · Experience using cloud services to build, deploy, or manage AI/ML solutions · Understanding of machine learning concepts, including data preprocessing, feature engineering, model training, model evaluation, performance metrics, and model deployment best practices · Strong written and verbal communication skills, including the ability to explain technical concepts to both technical and non-technical stakeholders · Proficiency with Microsoft Office tools, including Word, Excel, PowerPoint, and Outlook *Secret Clearance Desired Skills and Experience: • Experience working in an Agile development lifecycle • Experience developing Generative AI solutions using AWS Bedrock, including foundation models, Knowledge Bases, Agents, Guardrails, or related AWS AI/ML services • Familiarity with Model Context Protocol and the development or integration of MCP servers, tools, resources, or agent-accessible services • Experience with retrieval-augmented generation architectures, including document ingestion, chunking strategies, embedding models, vector databases, metadata filtering, reranking, and response evaluation • Experience with agentic AI workflows, tool-calling, function-calling, multi-step reasoning workflows, or orchestration frameworks • Experience evaluating LLM or RAG-based systems using qualitative and quantitative methods, such as human evaluation, automated LLM-as-judge approaches, RAGAS-style metrics, hallucination analysis, or task-specific performance measures • Experience deploying AI/ML solutions using cloud-native and DevOps technologies such as AWS, Docker, Kubernetes, CI/CD pipelines, Terraform, or similar tools • Experience with configuration management and version control technologies such as Git, GitLab, GitHub, or Bitbucket • History of academic publications, conference presentations, technical reports, demos, or client-facing briefings About NextGen: NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we: Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure. Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good. Openly promote and communicate our ideas for change and adaptability. Strive to achieve results as an organization. Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors. Value the talents and contributions of our employees as the key factor for our success. Create an environment where people can engage at all levels. Encourage people to take risks and allow them to make mistakes. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. RefID: A01y

Requirements

Must-haves

Bachelor's [Master's / PhD] Degree in Computer Science, Math, Engineering, or related field
6+ [4+ / 2+] years of work-related experience with applied machine learning, data science, software engineering, or AI/ML system development
Experience designing, developing, or deploying machine learning, Generative AI, or data-driven software solutions
Work as part of a technical team to design, develop, implement, and transition AI/ML and Generative AI capabilities that meet client operational requirements
Experience developing solutions using Python and common AI/ML or data science libraries such as pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or similar frameworks
Familiarity with large language models and Generative AI concepts, including prompt engineering, embeddings, vector databases, retrieval-augmented generation, model evaluation, and responsible AI considerations
Experience designing or integrating LLM-based applications, including chat-based interfaces, document question-answering systems, workflow automation, summarization tools, or AI-enabled decision-support systems
Experience using cloud services to build, deploy, or manage AI/ML solutions
Understanding of machine learning concepts, including data preprocessing, feature engineering, model training, model evaluation, performance metrics, and model deployment best practices
Strong written and verbal communication skills, including the ability to explain technical concepts to both technical and non-technical stakeholders
Proficiency with Microsoft Office tools, including Word, Excel, PowerPoint, and Outlook
Secret Clearance
Experience working in an Agile development lifecycle
Experience developing Generative AI solutions using AWS Bedrock, including foundation models, Knowledge Bases, Agents, Guardrails, or related AWS AI/ML services
Familiarity with Model Context Protocol and the development or integration of MCP servers, tools, resources, or agent-accessible services
Experience with retrieval-augmented generation architectures, including document ingestion, chunking strategies, embedding models, vector databases, metadata filtering, reranking, and response evaluation
Experience with agentic AI workflows, tool-calling, function-calling, multi-step reasoning workflows, or orchestration frameworks
Experience deploying AI/ML solutions using cloud-native and DevOps technologies such as AWS, Docker, Kubernetes, CI/CD pipelines, Terraform, or similar tools
Experience with configuration management and version control technologies such as Git, GitLab, GitHub, or Bitbucket
History of academic publications, conference presentations, technical reports, demos, or client-facing briefings

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlawsagilepythonllmdockerkubernetesci/cd

Platform: lever
Effort: quick